44 citations · 47 across the 16 of their papers we have counts for
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cs.LG2023★ 2 cited
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
Yefan Zhou, Tianyu Pang, Keqin Liu +3
Regularization in modern machine learning is crucial, and it can take various forms in algorithmic design: training set, model family, error function, regularization terms, and opt…
stat.ML2023
A Three-regime Model of Network Pruning
Yefan Zhou, Yaoqing Yang, Arin Chang +1
Recent work has highlighted the complex influence training hyperparameters, e.g., the number of training epochs, can have on the prunability of machine learning models. Perhaps sur…